Main
Daniel R. Kick
lorem1 lorem1 lorem1 lorem1 lorem1 lorem1 lorem1 lorem1 lorem1 lorem1 lorem1
Publications
Yield Prediction Through Integration of Genetic, Environment, and Management Data Through Deep Learning
N/A
2022
- Daniel R. Kick, Jason G. Wallace, James C. Schnable, Judith M. Kolkman, Baris Alaca, Timothy M. Beissinger, David Ertl, Sherry Flint-Garcia, Joseph L. Gage, Candice N. Hirsch, Joseph E. Knoll, Natalia de Leon, Dayane C. Lima, Danilo Moreta, Maninder P. Singh, Teclemariam Weldekidan, Jacob D. Washburn
Timing dependent potentiation and depression of electrical synapses contributes to network stability in the crustacean cardiac ganglion
2022
- Daniel R. Kick and David J. Schulz
Molecular profiling of single neurons of known identity in two ganglia from the crab Cancer borealis
Proceedings of the National Academy of Sciences
2019
- Adam J. Northcutt1, Daniel R. Kick1, Adriane G. Otopalik, Benjamin M. Goetz, Rayna M. Harris, Joseph M. Santin, Hans A. Hofmann, Eve Marder, and David J. Schulz
Dopamine maintains network synchrony via direct modulation of gap junctions in the crustacean cardiac ganglion
N/A
2018
- Brian J Lane, Daniel R Kick, David K Wilson, Satish S Nair, David J Schulz
The Hillary Climber trumps manual testing: an automatic system for studying Drosophila climbing
N/A
2016
- Alex M. Willenbrink, Margo K. Gronauer, Leon F. Toebben, Daniel R. Kick, Madalyn Wells & Bing Zhang
- Journal of Neurogenetics
Industry Experience
I have had the opportunity of researching diverse systems and question but connecting these has been a focus developing or applying physical or computational tools and approaches to collect better data or make better use of collected data regardless of whether it is being used to answer questions of cell identity and compensation or interactions between genetic and environmental factors. As a graduate researcher I gained experience with machine learning, statistics, and data analysis. I also had the opportunity to receive training in bioinformatics. In just over a year as a post-doc I have gained experience manipulating genomic data, curating large datasets, interacting with high performance computing, and optimizing deep neural networks
Research Geneticist
Jacob Washburn Lab
USDA-ARS
2021
- Improved yield prediction of maize in diverse environments by using deep learning to better capture gene by environment effects. Conducted research and wrote manuscript on results. Communciated results to stakeholders through local and national presentations. Supervised undergraduate high throughput phenotyping project and assisted with related coding needs.
Education
PhD. Biological Sciences
University of Missouri
Columbia, MO
2021 - 2015
- Coursework included Machine Learning Methods for Biomedical Informatics, Quantitative Methods in the Life Sciences, and Grant Writing
Bachelor of Science
Truman State University
Kirksville, MO
2015 - 2011
- Coursework included Next Generation Sequence Data and Analysis, Bioinformatics, Analysis of Variance and Experimental Design, Non-Parametric Statistics, and Economic & Medicinal Botany
Research Experience
Graduate Student
David Schulz Lab
Missouri State University
2021 - 2016
- Assessed the efficacy of machine learning models to recapitulate neural cell identity from mRNA expression 1. Demonstrated that activity desynchronization induces degree dependent changes in conductance between neurons 2. Investigated the compensatory effects of elevated depolarization on neuronal excitability, conductances, and ion channel mRNA abundances in small neural networks 3.
Graduate Student Rotation
Loren Milescu Lab
Missouri State University
2015
- Developed a protocol for live imaging neurons in Drosophila melanogaster with a two-photon microscope.
Graduate Student Rotation
Bing Zhang Lab
Missouri State University
2015
- Designed a machine to assay Drosophila climbing (used in Willenbrink et al. 2016) and quantified sleep patterns of Drosophila tyrosine hydroxylase mutants
Undergraduate Researcher
Diane Janick-Buckner, Brent Buckner Lab
Truman State University
2014
- Designed and prototyped a hydroponic growth chamber for maize root phenotyping.
NSF REU Student
Rahul Kanadia Lab
University of Conneticut
2014
- Measured minor spliceosome upregulation using in situ hybridization supporting a role in postponing retinal cell death.
NSF REU Student
Christian Lorson Lab
Missouri State University
2013
- Assessed motor function in mouse model of spinal muscular atrophy with and without oligonucleotide treatment.
Student Assistant
Laszlo Kovacs Laboratory
Missouri State University
2011
- Tested teaching experiments for use in a genetics course.
Teaching Experience
As a teaching assistant I took on curriculum design and leadership roles in addition to teaching. In process of overhauling the statistical methods used in this lab I programmed and deployed a statistical application for students to analyze their data with. A demonstration copy is available at danielkick.shinyapps.io/BioSc3700_1/. Later, I coordinated the necessary curriculum adjustments to allow animal physiology to be taught remotely and adhere to the University of Missouri’s COVID-19 policies. In my final semester I trained my replacement (Benton Berigan, PhD) for this role. Additionally, I have had the opportunity to mentor and work alongside five students, training them in microdissection, electrophysiology, experimental design, and data analysis.
Lead Teaching Assistant, Animal Physiology Lab
Biological Sciences
University of Missouri
2021 - 2020
- Coordinated adaptation and expansion of lab material to be fully online due to Covid-19. Developed and deployed a statistics web application used by a minimum 705 students as of 2021 source , deployed. Includes capability for visualization, testing model assumptions, frequentist models, non-parametric tests, basic Bayesian models.
Teaching Assistant, Animal Physiology Lab
Biological Sciences
University of Missouri
2020 - 2018
- Tested additional curriculum alterations, tested grade distrubutions to identify and adjust for grader effects.
Curriculum Consultant, Animal Physiology Lab
Biological Sciences
University of Missouri
2018 - 2018
- Updated curriculum and redesigned experiments placing a greater focus primary literature and data analysis.
Teaching Assistant, Animal Physiology Lab
Biological Sciences
University of Missouri
2016 - 2015
- Provided weekly lectures on relevant background, ensured experiments were conducted safely, provided timely feedback on assignments.
Honors and Awards
Poster Ranked first in MU Plant Research Symposium poster competition
N/A
N/A
2022
J. Perry Gustafson Award for Outstanding Graduate Research in the Life Sciences
N/A
N/A
2019
- $2,000
NIH T32 Training Grant Recipient
N/A
N/A
2018 - 2016
- $27,000 yearly stipend
NIH T32 Travel Award (x2)
N/A
N/A
2017 - 2016
- $750, each
Cum Laude, Truman State University
N/A
N/A
2015
President’s Recognition, Truman State University
N/A
N/A
2015
Professional Activities
Data Carpentries (Helper)
Workshop Assistant; Data Management with SQL
University of Missouri, Columbia
2022
Panel Member, Next-Generation Omics, Biological Sciences Divisional Retreat
Panel Member; Next-Generation Omics, Biological Sciences Divisional Retreat
University of Missouri Division of Biological Sciences Retreat
2022
- Ruthie Angelovici, David J Schulz, Daniel R Kick, and Mannie Liscum
Workshop Instructor; R for Reproducible Scientific Analysis
N/A
University of Missouri, Columbia
2022
Workshop Instructor, creator; Tools and Techniques for a Jupyter Based Scientific Workflow
N/A
University of Missouri Bioinformatics in Plant Science (BIPS) 1 2
2022
- Daniel R Kick*
Society for Neuroscience
N/A
N/A
2019 - 2016
Scientific Poster Judge
Spring Undergraduate Research and Creative Achievements Forum
University of Missouri Bioinformatics in Plant Science (BIPS)
2016
Professional Development
MU-Bayer Mentoring Program (mentee)
N/A
N/A
2022
Software Carpentry: Python, University of Missouri
N/A
N/A
2020
Diversity & Inclusion Workshop, University of Missouri
N/A
N/A
2017
Big Data in Biology, University of Austin
N/A
N/A
2016
Mentoring
Madi Mitchell
Undergraduate
N/A
2022
Grace Sidberry
Undergraduate
N/A
2022 - 2021
Mia Rupel
Undergraduate
N/A
2022 - 2021
Brady Bradford
Undergraduate
N/A
2021
Abby Beckerdite
Undergraduate
N/A
2019 - 2016
Ayla Ross
NSF REU
N/A
2019
Katlyn Sullivan
NSF REU
N/A
2018
Kelly Hiersche
NSF REU
N/A
2017
Rody Kingston
Post-baccalaureate Scholar
N/A
2016
Presentations (National)
Yield Prediction Accuracy is Improved Through Incorporating Genetic, Environmental, and Management Interactions with Deep Learning,
Columbia MO
University of Missouri Interdisciplinary Plant Group Symposium
2022
- Daniel R Kick*, Jacob D. Washburn (2022)
- Presentation
Effects of blockade of K+ currents on membrane conductance and channel expression at 1 hour and 24 hours in motor neurons of the cardiac ganglion.
Virtual
Dynamic Neural Networks: The Stomatogastric Nervous System
2020
- Daniel R Kick*, Brian J. Lane, David J Schulz.
- Presentation
Loss of synchronous activity across gap junctions results in a phase-dependent change in coupling conductance magnitude.
Chicago IL
Neuroscience
2019
- Daniel R Kick*, David J Schulz.
- Poster
Asynchronous voltage activity regulates electrical synapse plasticity.
Chicago IL
Dynamic Neural Networks: The Stomatogastric Nervous System
2019
- Daniel R Kick*, David J Schulz.
- Presentation
Variability from mRNAs to network output in the C. borealis cardiac ganglion.
Washington D.C
Dynamic Neural Networks: The Stomatogastric Nervous System
2017
- Daniel R Kick*, David J Schulz.
- Presentation
Variation across network output, excitatory post synaptic potentials, ionic conductances, and ion channel and receptor mRNAs within motor neurons of the crustacean cardiac ganglion.
Washington D.C.
Neuroscience
2017
- Daniel R Kick*, Brian J Lane, Joseph L Ransdell, Satish S Nair, David J Schulz.
- Poster
What crustaceans can teach us about the workings of the nervous system.
Columbia MO
Animal Behavior Society
2016
- Virginia Garcia, Daniel R Kick*, Cindy Kyi, Brian J Lane, Kwasi M Lett, Adam J Northcutt, Joseph L Ransdell, Simone Temporal, and David J Schulz.
- Poster
Presentations (Local)
Maize Yield Prediction is Improved by using Deep Learning to Incorporate Interactions between Genetic, Environmental, and Management Factors.
Virtual
USDA-ARS AgriCulture Series
2022
- Daniel R Kick*, Jacob D Washburn
Maize Yield Prediction is Improved by Modeling Interactions between Genetic, Environmental, and Management Factors with Deep Learning
Columbia MO
Interdisciplinary Plant Group Seminar “Plant Talks”
2022
- Daniel R Kick*, Jacob D Washburn
- Presentation
Yield Prediction Through Integration of Genetic, Environment, and Management Data by Deep Learning
Columbia MO
University of Missouri MU Plant Research Symposium
2022
- Daniel R Kick*, Jacob D Washburn
- Poster
- Ranked first in poster competition
Voltage Dependent Modification of Electrical Synapses and Ionic Conductances
Columbia MO
University of Missouri-Columbia Life Sciences Week
2018
- Daniel R Kick*, David J Schulz
- Poster
The Cancer borealis Cardiac Ganglion: a Window into Variability and Activity Dependent Regulation
Columbia MO
NIH-T32 progress seminar
2017
- Daniel R Kick*, David J Schulz
- Presentation
Upregulation of the Minor Spliceosome in Mouse Retinae due to Zaprinast Exposure
Kirksville MO
Truman State University Student Research Conference
2015
- Daniel R Kick*, Marybeth Baumgartner, Christopher Lemoine, Devi Krishna Priya Karunakaran, Nikita Sturrock, Amye Black, Rahul Kanadia
- Poster
Upregulation of the Minor Spliceosome in Mouse Retinae due to Zaprinast Exposure
Storrs CT
University of Connecticut Summer Undergraduate Research Conference
2014
- Daniel R Kick*, Marybeth Baumgartner, Christopher Lemoine, Devi Krishna Priya Karunakaran, Nikita Sturrock, Amye Black, Rahul Kanadia
- Poster
Effective Gene Therapy in Spinal Muscular Atrophy: Utilizing Antisense Oligonucleotides Targeting Intronic Repressor Element1
Columbia MO
University of Missouri Summer Undergraduate Research Conference
2013
- Daniel R Kick*, Eric Osman, Christian Lorson
- Poster
Presentations (Outreach)
From Neurobiologist to Research Geneticist
Virtual
Beyond the PhD (beyond-the-phd.com)
2022
- Daniel R Kick*
- Presentation
Spare the synapse, spoil the circuit, Public presentation
Columbia MO
Science on Tap
2019
- Daniel R Kick*
- Presentation
Can mRNA expression recapitulate neuron cell types
Kirksville MO
Truman State University Alumni Research Presentation
2019
- Daniel R Kick*
- Presentation
Voltage Dependent modification of Electrical Synapses
Columbia MO
University of Missouri Biological Sciences Recruitment
2019
- Daniel R Kick*
- Poster
Gap Junction Conductance Modulation Via Voltage
Kirksville MO
Truman State University Alumni Research Presentation
2018
- Daniel R Kick*
- Presentation
Please mind the gap: Network homeostatic plasticity in the Cancer borealis cardiac ganglion
Kirksville MO
Truman State University Alumni Research Presentation
2017
- Daniel R Kick*
- Presentation
The Tell-Tale Heart: Applying crustacean neurogenic hearts to basic neurosciences questions
Kirksville MO
Truman State University Alumni Research Presentation
2016
- Daniel R Kick*
- Presentation